The Ads Training Platform pod builds and maintains the distributed training and data processing infrastructure that powers Reddit’s Ads machine learning models. We focus on enabling fast, reliable, and scalable model training across large datasets, supporting the Ads ML teams in improving ad targeting, conversion prediction, and advertiser value. The team also supports DevX initiatives such as experimentation pipelines and feature fan-out systems.
We are looking for an engineer with deep experience in infrastructure, distributed systems, and ML platform operations to help evolve and scale our training systems.
What You’ll Do
- Develop tools and frameworks to improve model performance, focusing on faster training and lower serving latency.
- Dive into models to optimize their computational graphs, fuse operations, and improve the forward pass and data ingestion methodologies.
- Enhance model freshness using state-of-the-art training methodologies such as multi-GPU training, incremental training, and continual learning.
- Build tools to debug, profile, and optimize distributed training jobs for both performance and reliability.
- Drive improvements in scheduling, state management, and fault tolerance within the training platform to maximize efficiency and scalability.
- Build Auto ML foundations: scalable hyperparameter tuning, modular search spaces for model and feature configurations, and support for advanced architecture exploration.
What You Bring
- At least 1+ years of experience in model profiling and optimising models for training and online serving on GPUs
- At least 5+ (3+ for IC3) years of end-to-end experience in training, evaluating, and deploying machine learning models in a production environment.
- Proven ability to debug and profile distributed training jobs.
- Proficient in one or more general-purpose programming languages (e.g., Python, Scala) and have a solid understanding of software development best practices.
- Hands-on experience with a major machine learning framework (e.g., TensorFlow, PyTorch) and a deep understanding of core ML concepts and algorithms.
- Proven ability to work effectively with cross-functional teams, including product managers and data scientists, to translate business needs into technical solutions.
- Experience with distributed storage systems and large-scale data processing is a plus
Benefits
- Comprehensive healthcare coverage
- 401(k) match
- Family planning support
- Gender-affirming care
- Mental health and coaching benefits
- Flexible vacation and global days off
- Generous paid parental leave
- Paid volunteer time off
#LI-AK1 #LI-REMOTE
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
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What We Do
Reddit is a community of millions of users engaging in the creation of content and the sharing of conversation across tens of thousands of topics. Our mission is to bring community, belonging, and empowerment to everyone in the world.
Why Work With Us
At Reddit, you’ll help build something that encourages millions around the world to think more, do more, learn more, feel more– and maybe even laugh more.
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